Deep neural network battery life and voltage prediction by using data of one cycle only-Reference-Cited by-同舟云学术

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Deep neural network battery life and voltage prediction by using data of one cycle only

Published:2022-01 Issue: Volume:306 Page:118134
ISSN:0306-2619
Container-title:Applied Energy
language:en
Short-container-title:Applied Energy

Author:

Hsu Chia-Wei,Xiong Rui,Chen Nan-Yow,Li Ju,Tsou Nien-Ti

Publisher

Elsevier BV

Subject

Management, Monitoring, Policy and Law,Mechanical Engineering,General Energy,Building and Construction

Reference34 articles.

1. Gradient-Morph LiCoO2single Crystals with Stabilized Energy Density above 3400 W h L-1;Zhu;Energy Environ Sci,2020

2. Detecting Undesired Lithium Plating on Anodes for Lithium-Ion Batteries – A Review on the in-Situ Methods;Tian;Appl Energy,2021

3. Remaining the Battery Experience - Qnovo. (2020). Available at Https://Qnovo.Com/.

4. Cycling Degradation Testing and Analysis of a LiFePO4 Battery at Actual Conditions;Panchal;Int J Energy Res,2017

5. A Review on State of Health Estimation for Lithium Ion Batteries in Photovoltaic Systems;Tian;eTransportation,2019

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